YoloV8 for a bare Raspberry Pi 4

An example of using OpenCV dnn module with YOLOv8. (ObjectDetection, Segmentation, Classification, PoseEstimation)

Welcome to the YOLOv8 Human Detection Beginner's Repository – your entry point into the exciting world of object detection! This repository is tailored for beginners, providing a straightforward implementation of YOLOv8 for human detection in images and videos.

YoloV8 NPU for the RK3566/68/88

Rice Leaf Diseases

Use an image classifier to predict audio file labels.

Many yolov8 model are trained on the VisDrone dataset.

PCBQualityControl uses the latest segmentation models to solve this problem of void detection. This solution trained Yolov8 on the target to automatically select (bounding box). SAM then uses the output of YOLO to segment the image, exposing the void and component areas. A quality control report is generated based on the voids to components ratio.

Smart fan that recognize human & adjust it's angle via detection

Object detection on Custom Dataset using YOLOv8. The dataset has been created by me.

Поиск выбоин на дорогах с использованием YOLOv8 Nano

Project involving the development of a Flask application, which utilizes a YOLOv8 model trained on a distinct Kaggle weather classification dataset, thereby enabling the classification of weather conditions from user-provided images

Count entering and exiting people using YOLOv8 , opencv

In computer vision, this project meticulously constructs a dataset for precise 'Shoe' tracking using YOLOv8 models. Emphasizing detailed data organization, advanced training, and nuanced evaluation, it provides comprehensive insights. A final project for the Computer Vision cousre on Ottawa Master's in (2023).

Realtime object detection robot using yolo 8vn that says "human detected" on detecting human and an arduino based object avoiding robot on which the phone camera is setup that transfers the video using ip webcam app to laptop that runs this yolo code

Amazing Object Tracking

This repository is for German Traffic Sign Detection using Ultralytics YOLOv8

Tensorflow.js object detection yolov8n coco-Ssd

A car counter application that detects, tracks and counts cars crossing a "red" line.

Clasificación de imágenes y reconocimiento de objetos mediante la red neuronal convolucional CNN DenseNet y EfficientNet con el modelo frozen model y el framework Coffe. Posteriomente, mediante la red neuronal convolucional CNN MobileNet-SSD y YOLO con el framework TensorFlow